This article discusses the Paired Sample T Test method of hypothesis testing and analysis. What is the Paired Sample T Test? The Paired Sample T Test is used to determine whether the mean of a dependent variable e.g., weight, anxiety level, salary, reaction time, etc., […]
Tag: Citizen Data Scientist
This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more […]
ARIMAX Forecasting, Citizen Data Scientist, Data Literacy, Product Forecast This article discusses the analytical method of Hierarchical Clustering and how it can be used within an organization for analytical purposes. What is Hierarchical Clustering? Hierarchical Clustering is a process by which objects are classified into a number of groups so that they are as […]
Citizen Data Scientist, Data Literacy, Hierarchical Clustering, Loan Applications, Marketing, Product Preferences This article presents a brief explanation of Outliers, and how this type of analysis is used. What is Outlier Analysis? An outlier is an element of a data set that distinctly stands out from the rest of the data. In other words, outliers are those […]
Citizen Data Scientist, Data Literacy, Error Identification, Niche Analysis, Outlier Analysis This article describes chi square test of association and hypothesis testing. What is the Chi Square Test of Association Method of Hypothesis Testing? It is used to determine whether there is a statistically significant association between the two categorical variables. This technique is used to […]
Chi Square Test, Citizen Data Scientist, Data Literacy, Market Research, Retail Store Marketing This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. What is the FP Growth Algorithm? Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence […]
Citizen Data Scientist, Data Literacy, FP Growth Analysis, Frequent Pattern Mining, Product Bundling This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm? Logistic regression measures the relationship between the categorical target variable and one or more independent variables It deals with situations in […]
Citizen Data Scientist, Data Literacy, Multinomial Logistic Regression Classification, Satisfaction Analysis, Weather Prediction This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. What is the Holt-Winters Forecasting Algorithm? The Holt-Winters algorithm is used for forecasting and It is a time-series forecasting method. Time series forecasting methods are used to […]
Citizen Data Scientist, Data Literacy, Double Exponential Smoothing, Forecasting, Holt-Winters Forecasting, Predictive Analytics, Single Exponential Smoothing, Triple Exponential Smoothing In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. The business can use this information for forecasting and planning, and to test theories and strategies. Let’s look at the various methods of trend and […]
Citizen Data Scientist, Cyclical Patterns, Damped Trend, Data Literacy, Data Patterns, Data Trends and Patterns, Exponential Trend, Irregular/Random Patterns, Linear Trend, Seasonality, Stationary/Stationarity There is a new business role on the horizon and, at first glance, it may seem very much like a role that was introduced a few short years ago. This new enterprise role is known as an ‘Analytics Translator’ and, while there is some confusion […]
Advanced Analytics, Advanced Analytics Software, Advanced Analytics Tools, Analytics Translator, Citizen Data Science, Citizen Data Scientist, Citizen Data Scientists, Data Scientist, Data Scientists 